Sequential data assimilation in geotechnical engineering and its application to seepage analysis

Author

Nakamura, Kazuyuki ; Yamamoto, Shinya ; Honda, Makoto

Author_Institution

Grad. Sch. of Adv. Math. Sci., Meiji Univ., Kawasaki, Japan

fYear

2011

fDate

5-8 July 2011

Firstpage

1

Lastpage

6

Abstract

There are many uncertainties in the geotechnical engineering design, which lead to prediction errors and risks in the real world. Sequential data assimilation is one of the most applicable methods to lessen these errors and risks, for partial observations can be obtained online and required computation time in numerical analysis has similar time scale of real geotechnical phenomena. We summarize characteristics of sequential data assimilation from the viewpoint of its application to geotechnical engineering and apply them to a seepage analysis using realistic simulation system. The result shows that application of sequential data assimilation with the particle filter gives a good estimation in seepage analysis.

Keywords

data assimilation; geotechnical engineering; particle filtering (numerical methods); soil; computation time; geotechnical engineering; numerical analysis; partial observations; particle filter; prediction errors; seepage analysis; sequential data assimilation; Data assimilation; Data models; Equations; Estimation; Mathematical model; Numerical models; Permeability; Data assimilation; estimation; particle filter; seepage analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion (FUSION), 2011 Proceedings of the 14th International Conference on

Conference_Location

Chicago, IL

Print_ISBN

978-1-4577-0267-9

Type

conf

Filename

5977690